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Ioanna Miliou

Senior Lecturer

Stockholm University

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Sweden

Has open position

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Research Interests

Biostatistics

10%

Epidemiology

10%

Temporal Analysis

10%

Predictive Analytics

10%

Medical Science

10%

Avian Influenza

10%

Explainability

10%

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Positions1

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Ioanna Miliou

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Stockholm University

PhD Position in Data Science, Machine Learning, and Temporal Data Analysis in Healthcare

The Department of Computer and Systems Sciences (DSV) at Stockholm University is inviting applications for a fully funded PhD position in Data Science. This opportunity is ideal for candidates passionate about advanced data analytics, machine learning, and extracting insights from complex, longitudinal, and multimodal data, particularly with applications in healthcare. The successful candidate will join an internationally active research group focused on developing cutting-edge methods in data mining, machine learning, and temporal data analysis. The project emphasizes methodological work on extracting meaningful insights from large, complex datasets (both structured and unstructured), with a special focus on temporal and time-dependent analysis. Empirical evaluation will be conducted in real-world data contexts, especially in healthcare analytics. The Data Science Research Group at Stockholm University is renowned for its expertise in mining and model understanding from healthcare and medical data sources. The group also works on predictive maintenance, integrated vehicle management, financial data, environmental data, and data from immersive technologies such as virtual reality. A key research theme is explainable machine learning, aiming to make complex models interpretable and actionable for decision-makers. As a PhD student, you will benefit from strong academic support, including opportunities for conference travel, publications, and networking. The position is fully funded for up to 5 years, offering a competitive salary and benefits. The research environment is collaborative and supportive, with a focus on both methodological innovation and real-world impact. Applicants should have a strong background in data science, computer science, or a related field, with skills in advanced data analytics, machine learning, and handling complex datasets. Experience with temporal and multimodal data analysis is highly desirable. Proficiency in English is required. The application deadline is 15 April 2026. For more information about the research group, visit the Data Science Research Group page. To apply, use the application link provided. Join us at Stockholm University and contribute to impactful research in data science and healthcare analytics!

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